Customer satisfaction scores: New models to estimate the number of fake reviews
本文开发了客户满意度评分分布的新模型，用于估算实际数据中的虚假评论数量，并考虑了极端评论倾向和评论者参与度不足等因素。
In this paper we develop new models for the distribution of customer satisfaction scores. This leads to new approaches for estimating the number of fake reviews in empirical data. Modifications of the basic model are presented that account for the propensity of extreme positive and negative reviews, and a potential lack of engagement on the part of reviewers. Further work to incorporate price and cultural effects is proposed.